Key Skills

Software

Appen

Toloka

V7 Labs

Scale AI

iMerit

Top Subject Matter

Technology & Data Processing: Managing data and building algorithms

Healthcare/Medicine: Training AI for medical diagnosis and clinical documentation

Automotive & Manufacturing: Training data for autonomous vehicles, robotics, and safety

Top Data Types

Audio

Image

Text

Top Task Types

Object Detection

Question Answering

Text Summarization

Transcription

Classification

Freelancer Overview

I have extensive experience in data labeling and AI training data preparation with a strong focus on creating high-quality, structured datasets that fuel machine learning models. My expertise spans text, image, and audio annotation, where I’ve applied techniques such as entity recognition, sentiment tagging, bounding box annotation, and transcription alignment. I’m skilled at designing labeling guidelines, ensuring consistency across large teams, and implementing quality assurance processes that minimize bias and maximize accuracy. This attention to detail has allowed me to contribute to projects in natural language processing, computer vision, and speech recognition, where the reliability of training data directly impacts model performance. What sets me apart is my ability to bridge technical precision with project management. I’ve led initiatives that involved scaling annotation pipelines, integrating labeling tools, and collaborating with cross-functional teams to refine data requirements. I also bring a strong understanding of ethical AI practices, ensuring datasets are representative and responsibly sourced. I have hands-on experience with industry-standard platforms, I improve datasets iteratively, and I deliver training data that accelerates model development and deployment.

Labeling Experience

Education

Work History